Assessing riverbank erosion in Bangladesh using time series of Sentinel-1 radar imagery in the Google Earth Engine

Freihardt, Jan; Frey, Othmar

doi:https://doi.org/10.5194/nhess-23-751-2023

Articles | Volume 23, issue 2

https://doi.org/10.5194/nhess-23-751-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-23-751-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 2

Research article

|

21 Feb 2023

Research article |

| 21 Feb 2023

Assessing riverbank erosion in Bangladesh using time series of Sentinel-1 radar imagery in the Google Earth Engine

Jan Freihardt and Othmar Frey

Model code and software

Code to develop algorithm for riverbank erosion assessment in the Google Earth Engine Jan Freihardt and Othmar Frey https://doi.org/10.5281/zenodo.7253121

Code of tool to assess riverbank erosion along Jamuna River in the Google Earth Engine Jan Freihardt and Othmar Frey https://doi.org/10.5281/zenodo.7252970

Video supplement

Tutorial to explore riverbank erosion along Jamuna River, Bangladesh, with the Google Earth Engine Jan Freihardt https://doi.org/10.5281/zenodo.7249809

Short summary

In Bangladesh, riverbank erosion occurs every year during the monsoon and affects thousands of households. Information on locations and extent of past erosion can help anticipate where erosion might occur in the upcoming monsoon season and to take preventive measures. In our study, we show how time series of radar satellite imagery can be used to retrieve information on past erosion events shortly after the monsoon season using a novel interactive online tool based on the Google Earth Engine.